Senior ML Systems Engineer

Senior ML Systems Engineer – London – Hybrid - £90,000

We are supporting our client, an innovative technology company developing next-generation networking solutions, advanced solutions in AI/ML, and high-performance computing environments, with the hire of a Senior ML Systems Engineer.

As a Senior ML systems Engineer, you'll be in a hands-on technical position, building simulations, modelling systems, and infrastructure for ML training and interfacing.

Responsibilities:

Design simulation models for compute, memory, interconnect, and communication behaviour in ML systems.
Built tools to simulate performance.
Model accelerators, hosts, and network fabrics.
Develop performance experiments for ML systems.
Provide analysis on end-to-end performance for ML Systems.
build technical reports and design recommendations.
Qualifications:

Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
Strong experience in ML systems, distributed systems, performance engineering, computer architecture, or simulation.
Experience with distributed training concepts such as data parallelism, tensor/model parallelism, pipeline parallelism, collectives, and synchronisation overheads.
Experience with tools such as Python, C++, or Rust, PyTorch, JAX, TensorFlow, NCCL, XLA, CUDA, or similar tools
Understanding of accelerator-based systems such as GPUs, TPUs, or custom ML hardware.
Benefits:

Salary circa £90,000 depending on experience.
25 days holiday plus bank holidays.
Hybrid working model.
Private healthcare and life assurance.
Relocation support available